The following requirements must be fulfilled: 48 credits, including 24 credits in required courses and 24 credits in research culminating in a practice-based praxis.
Note: Throughout the program, students must take required courses in lockstep with the cohort of students with which they matriculated.
| Code | Title | Credits |
|---|---|---|
| Required courses | ||
| SEAS 8414 | Cybersecurity Analytics Tools | |
| SEAS 8499 | Praxis Development for Cybersecurity Analytics | |
| SEAS 8505 | Applied Machine Intelligence and Reinforcement Learning | |
| SEAS 8601 | Resilient Enterprise Security Architecture | |
| SEAS 8610 | Adversarial Machine Learning and Defense | |
| SEAS 8620 | AI-Enabled Cyber Defense | |
| Research phase | ||
| SEAS 8188 | Praxis Research for Doctor of Engineering in Cyber Analytics (taken for a total of 24 credits) | |
Additional requirements
- Students must earn a minimum grade of B- in all courses and must achieve a minimum GPA of 3.2 at the completion of their coursework to advance to the research phase.
- Students must complete the final examination on their praxis by preparing and defending their praxis before a committee of three faculty members. Students have a maximum of two attempts to pass the final defense.